# \#gemma **URL:** https://www.artofsm.art/tag/gemma/92.md [Latest](https://www.artofsm.art/latest.md) · [Categories](https://www.artofsm.art/categories.md) · [Tags](https://www.artofsm.art/tags.md) --- ## [Local AI Clearly Explained](https://www.artofsm.art/t/local-ai-clearly-explained/23681)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [8 September 2026 16:50 UTC](https://www.artofsm.art/t/local-ai-clearly-explained/23681 "2026-09-08T16:50:52Z")
The video explains the concept and growing significance of local AI—running AI models on personal or edge devices—for enhancing privacy, speed, and efficiency in sensitive or repetitive tasks, highlighting … --- ## [These Free Local AI Models Are INSANELY Good](https://www.artofsm.art/t/these-free-local-ai-models-are-insanely-good/22784)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [17 August 2026 14:50 UTC](https://www.artofsm.art/t/these-free-local-ai-models-are-insanely-good/22784 "2026-08-17T14:50:28Z")
The video highlights the emergence of highly efficient, free local AI models that can run on consumer-grade hardware with as little as 16GB of memory, enabling sophisticated offline AI use without cloud dep… --- ## [DeepMind's AI Trick Everyone Should Copy](https://www.artofsm.art/t/deepminds-ai-trick-everyone-should-copy/22218)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [7 August 2026 08:42 UTC](https://www.artofsm.art/t/deepminds-ai-trick-everyone-should-copy/22218 "2026-08-07T08:42:26Z")
The video highlights DeepMind’s Gemma 4, a compact and efficient AI model that integrates vision, audio, and reasoning into a single unified transformer, outperforming much larger models while running on st… --- ## [How TurboFieldFare Runs a 26B LLM on a MacBook Air (Run AI Locally)](https://www.artofsm.art/t/how-turbofieldfare-runs-a-26b-llm-on-a-macbook-air-run-ai-locally/22119)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [4 August 2026 19:36 UTC](https://www.artofsm.art/t/how-turbofieldfare-runs-a-26b-llm-on-a-macbook-air-run-ai-locally/22119 "2026-08-04T19:36:37Z")
TurboFieldfare, developed by Andrey Mikhaylov, is an innovative engine that enables running the 26 billion parameter Gemma 4-26B MoE language model on a base M2 MacBook Air with just 8GB of RAM by streaming… --- ## [Why Large? Tiny LMs & Agents on Edge/Robotics — Cormac Brick, Google](https://www.artofsm.art/t/why-large-tiny-lms-agents-on-edge-robotics-cormac-brick-google/21696)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [25 July 2026 17:24 UTC](https://www.artofsm.art/t/why-large-tiny-lms-agents-on-edge-robotics-cormac-brick-google/21696 "2026-07-25T17:24:32Z")
Cormac Brick from Google’s AI Edge team highlights the necessity of tiny language models for deploying AI across resource-constrained edge devices and robotics, emphasizing their advantages in privacy, late… --- ## [Which Local LLM is the Best for the RTX3060? (26 Candidates, 1 Winner)](https://www.artofsm.art/t/which-local-llm-is-the-best-for-the-rtx3060-26-candidates-1-winner/20507)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [24 June 2026 14:20 UTC](https://www.artofsm.art/t/which-local-llm-is-the-best-for-the-rtx3060-26-candidates-1-winner/20507 "2026-06-24T14:20:59Z")
The video evaluates 26 local large language models on an Nvidia RTX 3060, finding Google’s Gemma 3 12B to be the best overall balance of speed, quality, and VRAM efficiency for this hardware. While other mo… --- ## [Google's New FREE AI Model Can Run on Your PC!](https://www.artofsm.art/t/googles-new-free-ai-model-can-run-on-your-pc/20153)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [12 June 2026 13:36 UTC](https://www.artofsm.art/t/googles-new-free-ai-model-can-run-on-your-pc/20153 "2026-06-12T13:36:32Z")
Google’s new 12 billion parameter Gemma 4 AI model offers a powerful yet accessible option for running advanced language tasks locally on mid-range hardware, including PCs with 16 GB RAM and even Raspberry … --- ## [The Model Doesn't Unpack Its Memory](https://www.artofsm.art/t/the-model-doesnt-unpack-its-memory/20085)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [10 June 2026 16:50 UTC](https://www.artofsm.art/t/the-model-doesnt-unpack-its-memory/20085 "2026-06-10T16:50:32Z")
The video explains that large language models store facts as packed vector representations within their feed-forward networks, reading them through direct address-based lookups rather than unpacking the com… --- ## [Sovereign Escape Velocity: Ownership w Open Models — Gus Martins, & Ian Ballantyne, Google DeepMind](https://www.artofsm.art/t/sovereign-escape-velocity-ownership-w-open-models-gus-martins-ian-ballantyne-google-deepmind/20072)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [10 June 2026 15:22 UTC](https://www.artofsm.art/t/sovereign-escape-velocity-ownership-w-open-models-gus-martins-ian-ballantyne-google-deepmind/20072 "2026-06-10T15:22:18Z")
Gus Martins and Ian Ballantyne from Google DeepMind present the Gemini family’s Gemma 4 series—open, efficient AI models designed for user ownership, customization, and deployment on diverse hardware from m… --- ## [Gemma 4 12B: The Unified Local AI We’ve Been Waiting For](https://www.artofsm.art/t/gemma-4-12b-the-unified-local-ai-we-ve-been-waiting-for/20023)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [9 June 2026 18:20 UTC](https://www.artofsm.art/t/gemma-4-12b-the-unified-local-ai-we-ve-been-waiting-for/20023 "2026-06-09T18:20:31Z")
Timothy Carenbat discusses Google’s Gemma 12B unified AI model and its Quantization Aware Training (QAT) variant, highlighting their ability to efficiently handle multimodal inputs like text, images, audio,… --- ## [Build Your First AI Web Researcher in Minutes](https://www.artofsm.art/t/build-your-first-ai-web-researcher-in-minutes/19938)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [8 June 2026 10:06 UTC](https://www.artofsm.art/t/build-your-first-ai-web-researcher-in-minutes/19938 "2026-06-08T10:06:32Z")
The video demonstrates how to build a simple AI web researcher by scraping up-to-date financial news using Python and augmenting AI prompts with this data to enable informed analysis, overcoming the limitat… --- ## [AI on Laptops with Gemma 4 from Google - OpenAI is Dead](https://www.artofsm.art/t/ai-on-laptops-with-gemma-4-from-google-openai-is-dead/19883)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [7 June 2026 00:20 UTC](https://www.artofsm.art/t/ai-on-laptops-with-gemma-4-from-google-openai-is-dead/19883 "2026-06-07T00:20:35Z")
The video highlights Google’s Gemma 4, a highly efficient 12 billion parameter AI model designed to run locally on consumer laptops, challenging the centralized, cloud-based AI model championed by OpenAI. I… --- ## [Google Just Killed Every Transcription App](https://www.artofsm.art/t/google-just-killed-every-transcription-app/19684)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [6 June 2026 08:21 UTC](https://www.artofsm.art/t/google-just-killed-every-transcription-app/19684 "2026-06-06T08:21:34Z")
Google’s new Eloquent app is a free, fully on-device transcription tool for Mac that uses advanced AI to deliver accurate, offline transcription with features like filler word removal, sentence refinement, … --- ## [Multi-Token Prediction (MTP): Accelerating Local Models with no Quality Loss](https://www.artofsm.art/t/multi-token-prediction-mtp-accelerating-local-models-with-no-quality-loss/18688)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [13 May 2026 14:24 UTC](https://www.artofsm.art/t/multi-token-prediction-mtp-accelerating-local-models-with-no-quality-loss/18688 "2026-05-13T14:24:48Z")
The video introduces Multi-Token Prediction (MTP), a technique that accelerates local language models by predicting multiple tokens simultaneously through integrated additional prediction heads, achieving u… --- ## [Self-evolving AI, robot fights, new GPT voice, new local image model, Gemma upgrade: AI NEWS](https://www.artofsm.art/t/self-evolving-ai-robot-fights-new-gpt-voice-new-local-image-model-gemma-upgrade-ai-news/18528)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [10 May 2026 03:44 UTC](https://www.artofsm.art/t/self-evolving-ai-robot-fights-new-gpt-voice-new-local-image-model-gemma-upgrade-ai-news/18528 "2026-05-10T03:44:45Z")
This week’s AI news highlights breakthroughs including RecGen’s 3D object reconstruction from limited images, Vivago AI’s high-resolution Hydream 01 Image model, Google’s faster Gemma 4 language model, and … --- ## [I Decoupled Attention from Weights - Gemma 4 26B](https://www.artofsm.art/t/i-decoupled-attention-from-weights-gemma-4-26b/18368)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [5 May 2026 16:20 UTC](https://www.artofsm.art/t/i-decoupled-attention-from-weights-gemma-4-26b/18368 "2026-05-05T16:20:30Z")
The presenter demonstrates a novel approach where the attention mechanism of the Gemma 4 26B model runs locally on a laptop while the large feed-forward network (FFN) expert weights are hosted remotely acro… --- ## [Accelerating AI on Edge — Chintan Parikh and Weiyi Wang, Google DeepMind](https://www.artofsm.art/t/accelerating-ai-on-edge-chintan-parikh-and-weiyi-wang-google-deepmind/18365)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [5 May 2026 15:29 UTC](https://www.artofsm.art/t/accelerating-ai-on-edge-chintan-parikh-and-weiyi-wang-google-deepmind/18365 "2026-05-05T15:29:06Z")
Chintan Parikh and Weiyi Wang from Google DeepMind presented the Gemma 4 models and Light RT framework, enabling efficient, privacy-focused AI inference on edge devices like mobile phones and IoT hardware w… --- ## [Open Models at Google DeepMind — Cassidy Hardin, Google DeepMind](https://www.artofsm.art/t/open-models-at-google-deepmind-cassidy-hardin-google-deepmind/18089)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [27 April 2026 23:20 UTC](https://www.artofsm.art/t/open-models-at-google-deepmind-cassidy-hardin-google-deepmind/18089 "2026-04-27T23:20:28Z")
Cassidy Hardin from Google DeepMind introduced Gemma 4, a family of open-source multimodal models featuring significant architectural improvements, including efficient mixture of experts and enhanced attent… --- ## [DeepSeek TOO MUCH for MacBook Neo, But Gemma + TurboQuant? 🧐 | Local AI REVIEW](https://www.artofsm.art/t/deepseek-too-much-for-macbook-neo-but-gemma-turboquant-local-ai-review/18040)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [26 April 2026 10:27 UTC](https://www.artofsm.art/t/deepseek-too-much-for-macbook-neo-but-gemma-turboquant-local-ai-review/18040 "2026-04-26T10:27:27Z")
The video reviews the MacBook Neo’s ability to run large language, audio, and vision models with extensive 10,000-token prompts, highlighting memory constraints due to its 8 GB RAM and system usage. By usin… --- ## [DeepMind’s New AI: A Gift To Humanity](https://www.artofsm.art/t/deepmind-s-new-ai-a-gift-to-humanity/17689)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [16 April 2026 18:05 UTC](https://www.artofsm.art/t/deepmind-s-new-ai-a-gift-to-humanity/17689 "2026-04-16T18:05:12Z")
Google DeepMind’s Gemma 4 is a powerful, efficient, and open-source AI model that runs locally on modest hardware, offering advanced capabilities like large-context understanding and agentic workflows witho… --- ## [Gemma 4 Makes Claude Code 100% FREE](https://www.artofsm.art/t/gemma-4-makes-claude-code-100-free/17673)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [16 April 2026 13:20 UTC](https://www.artofsm.art/t/gemma-4-makes-claude-code-100-free/17673 "2026-04-16T13:20:26Z")
The video demonstrates building a fully functional Jira clone using Gemma 4 and Claude Code, highlighting the model’s efficient multimodal coding capabilities, rapid bug fixing, and seamless integration wit… --- ## [Should You Buy the nVidia RTX 3080 for Local AI? Gemma 4?](https://www.artofsm.art/t/should-you-buy-the-nvidia-rtx-3080-for-local-ai-gemma-4/17582)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [13 April 2026 20:21 UTC](https://www.artofsm.art/t/should-you-buy-the-nvidia-rtx-3080-for-local-ai-gemma-4/17582 "2026-04-13T20:21:02Z")
The Nvidia RTX 3080 remains a cost-effective and powerful GPU choice for local AI in 2026, especially with efficient, heavily quantized models like Gemma 4 that run well within its 10-12 GB VRAM limits. Its… --- ## [What’s new in Gemma 4?](https://www.artofsm.art/t/what-s-new-in-gemma-4/17558)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [13 April 2026 09:51 UTC](https://www.artofsm.art/t/what-s-new-in-gemma-4/17558 "2026-04-13T09:51:10Z")
Gemma 4 is an open-source AI model from Google DeepMind designed to run locally on personal devices, offering advanced capabilities like handling up to 250,000 tokens, multi-step planning, and native tool u… --- ## [Should You Buy Intel ARC PRO B70 GPU for Local AI? Gemma 4?](https://www.artofsm.art/t/should-you-buy-intel-arc-pro-b70-gpu-for-local-ai-gemma-4/17331)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [8 April 2026 21:05 UTC](https://www.artofsm.art/t/should-you-buy-intel-arc-pro-b70-gpu-for-local-ai-gemma-4/17331 "2026-04-08T21:05:36Z")
The Intel Arc Pro B70 GPU offers a compelling, cost-effective option for local AI workloads in 2026, boasting 32GB of VRAM, strong scalability with multi-GPU support, and competitive performance against Nvi… --- ## [Google just casually disrupted the open-source AI narrative…](https://www.artofsm.art/t/google-just-casually-disrupted-the-open-source-ai-narrative/17327)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [8 April 2026 19:20 UTC](https://www.artofsm.art/t/google-just-casually-disrupted-the-open-source-ai-narrative/17327 "2026-04-08T19:20:38Z")
Google’s release of Gemma 4, a compact and efficient large language model under the Apache 2.0 license, challenges existing open-source AI models by enabling high-performance local deployment on consumer ha… --- ## [Gemma 4 Is Hiding A Secret Feature](https://www.artofsm.art/t/gemma-4-is-hiding-a-secret-feature/17294)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [7 April 2026 18:35 UTC](https://www.artofsm.art/t/gemma-4-is-hiding-a-secret-feature/17294 "2026-04-07T18:35:38Z")
The video reveals that Google’s Gemma 4 language model includes a powerful hidden multi-token prediction (MTP) feature, which significantly enhances performance but was removed from public versions due to i… --- ## [Googles Gemma 4 Just Shocked The AI Industry](https://www.artofsm.art/t/googles-gemma-4-just-shocked-the-ai-industry/17223)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [4 April 2026 21:20 UTC](https://www.artofsm.art/t/googles-gemma-4-just-shocked-the-ai-industry/17223 "2026-04-04T21:20:44Z")
Google’s Gemma 4 is a groundbreaking open-source AI model family designed for efficient, high-performance local use on personal devices, supporting complex reasoning, multimodal inputs, and over 140 languag… --- ## [Gemma 4 Multimodal Local AI - Can it Recreate My App? 🧐](https://www.artofsm.art/t/gemma-4-multimodal-local-ai-can-it-recreate-my-app/17206)
**Author:** [@merefield](https://www.artofsm.art/u/merefield)\ **Replies:** 1\ **Last updated:** [3 April 2026 23:27 UTC](https://www.artofsm.art/t/gemma-4-multimodal-local-ai-can-it-recreate-my-app/17206 "2026-04-03T23:27:03Z")
The video reviews Google’s Gemma 4, an efficient open-weight multimodal AI model excelling in image, audio, and language tasks, including medical image analysis, voice recognition, and complex code generati… --- ## [How To Install Gemma 4 - How To Download Gemma 4 Locally (Ollama)](https://www.artofsm.art/t/how-to-install-gemma-4-how-to-download-gemma-4-locally-ollama/17203)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [3 April 2026 19:21 UTC](https://www.artofsm.art/t/how-to-install-gemma-4-how-to-download-gemma-4-locally-ollama/17203 "2026-04-03T19:21:56Z")
The video explains how to install and run Google’s advanced Gemma 4 AI models locally using the Ollama platform, highlighting the importance of sufficient GPU VRAM and offering alternatives like cloud GPU r… --- ## [You Should Run the Gemma 4 AI Model on Your PC Because it is Catching Chat GPT!](https://www.artofsm.art/t/you-should-run-the-gemma-4-ai-model-on-your-pc-because-it-is-catching-chat-gpt/17188)
**Author:** [@artesia](https://www.artofsm.art/u/artesia)\ **Replies:** 1\ **Last updated:** [3 April 2026 13:51 UTC](https://www.artofsm.art/t/you-should-run-the-gemma-4-ai-model-on-your-pc-because-it-is-catching-chat-gpt/17188 "2026-04-03T13:51:07Z")
Google’s Gemma 4 AI model offers a range of efficient, high-performance versions that can be run locally on personal hardware, providing significant improvements in speed, accuracy, and privacy compared to … [Next page](https://www.artofsm.art/tag/gemma/92.md?match_all_tags=true&page=1&tags%5B%5D=gemma)